A sensor based system for capturing localized weather data and a server system for communicating with a plurality of reporting and recipient mobile communication devices. The communication devices are enabled to capture additional weather information to supplement the sensor based system.

Systems and methods are disclosed for generating an assessment of safety parameters using sensors and sensor data. One method may include, receiving, by a computing device having one or more processors and from a user device, a request for generating an neighborhood safety assessment for a desired geographic area, wherein the request is based on an assessment of a first neighborhood safety parameter of a plurality of neighborhood safety parameters; determining, by the computing device, one or more sensors associated with the desired geographic area; receiving, by the computing device in real time and from the one or more sensors, a present value for a characteristic of the first neighborhood safety parameter of the one or more neighborhood safety parameters; and generating, based on the received present value, an assessment of the first neighborhood safety parameter of the one or more neighborhood safety parameters for the desired geographic area.

A method for selecting a subset of devices from a plurality of devices in a wireless network to perform: a first function comprising transmitting, receiving and/or processing a first radio frequency signal in a first frequency band for detecting atmospheric conditions; and a second function comprising transmitting, receiving and/or processing a second radio frequency signal in a second frequency band, at least partially overlapping with the first frequency band, for performing network communications; wherein the first and the second function are performed during a time period; and wherein the time period comprises a first subset of timeslots and a second subset of timeslots; wherein the method comprises: selecting the subset of devices based on a physical location of the devices relative to an area in which atmospheric conditions are to be monitored; assigning the first subset of timeslots to each of the selected devices to perform the first function, wherein the first subset of timeslots is assigned based on a priority value associated with the relative priority of performing the first function compared to the second function; assigning the second subset of timeslots to each of the selected devices to perform the second function; controlling the selected devices to execute the first function and the second function during the assigned timeslots respectively.

A temperature prediction system may include a data input module configured to receive data related to climate, a prediction module having installed therein a trained model for predicting a temperature based on input data from the data input module, and an output module configured to output temperature information predicted by the prediction module.

Systems and methods for converting live weather data to a weather index for offsetting weather risk. Weather data source systems generate one or more weather data streams that include weather forecast model and observations data. A data distribution system receives a weather index request, identifies at least one instrument and at least one location associated with the request. Weather risk indication data is extracted among the weather data streams associated with the identified location based on predefined parameters associated with the identified instrument. The extracted data is converted into a set of weather index values corresponding to the location, based on a predetermined algorithm associated with the identified instrument. A weather index presentation package is generated that includes the set of weather index values for distribution to at least one user device. The weather index presentation package being distributed is updated concurrent with changes to weather risk indication data.

Disclosed is a computing device for generating weather observation data for solving the problem. The computing device includes: a memory including computer executable components; and a processor executing following computer executable components stored in the memory, and the computer executable components may include an initial ground weather observation data recognition component recognizing observed initial ground weather observation data, and a weather data generation component trained to generate weather data of a gap region on the initial ground weather observation data by using a machine learning module.

In one illustrative configuration, a system and method of air quality monitor minimization/optimization is disclosed. The method may include providing at least a first air quality monitor on a site. The first air quality monitor may be configured to generate a first set of attached parameters. The method may further include providing a SCADA system, on the site, configured to generate a set of SCADA data. The SCADA data, the first set of attached parameters may be processed to determine a redundant/sub-optimized air quality monitor, which may be removed. In other illustrative configurations, the system and method may be utilized to locate and/or quantify emissions.

A system and method of detecting energy consumption anomaly, including: receiving an energy consumption data of an energy usage system of a building; analyzing the received energy consumption data of the energy usage system of the building using a Multi-Seasonal-series using Loess (MSTL) decomposition, including: analyzing the energy consumption data of the energy usage system by breaking down the energy consumption data into frequency components, and identifying an energy usage of the building, wherein the analyzing of the received energy consumption data further includes: receiving the time-series energy consumption data of the energy system, and analyzing the received time-series energy consumption data using the MSTL decomposition by separating the received time-series energy consumption data into frequency components, graphically displaying the frequency components on a display; identifying patterns and trends from the graphically displayed frequency component; and determining a target value for a non-operating time of the building.

The present invention may be used for forecasting various weather phenomena including but not limited to flyby anomalies, cyclones, tornadoes, killer (rogue) waves, earthquakes, lightning, sprites, and temperature fluctuations. The invention is based on knowledge of physical and mathematical models regarding the occurrence of Kukharev regions (i.e., K regions) resulting from gravitational resonances occurring within the Earth-Moon-Sun system (and similar systems located elsewhere). These gravitational resonances and combinations thereof, among other things, cause jumps in atmospheric pressure. Such jumps can be recorded and extrapolated to predict the locations and times of the occurrence of Kukharev regions and, in turn, the associated weather-related effects.

Methods and systems for automating processes of receiving, prioritizing, and grouping weather data into a weather event, extent of weather event, and an associated duration for presentation on a displayed mission timeline in an aircraft having a flight plan (FP). The method includes: receiving, by a controller circuit, weather data, aircraft state data, and aircraft system status data; identifying a weather phenomenon that impacts the FP and creating an information structure for the weather phenomenon, the information structure including at least a type, a subtype, a severity, a start of impact and an end of impact. The method also includes presenting a weather event indicator overlaid on the mission timeline to indicate the weather phenomenon. The rendering of the weather event indicator on the mission timeline additionally depicts on the mission timeline: a start, an end, and duration of the weather event.